ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Proceedings
Publisher : Springer Berlin Heidelberg
Source : Computer Vision, Graphics and Image Processing, Springer Berlin Heidelberg, Berlin, Heidelberg, p.776-785 (2006)
ISBN : 9783540683025
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2006
Abstract : We propose two texture-based approaches, one involving Gabor filters and the other employing log-polar wavelets, for separating text from non-text elements in a document image. Both the proposed algorithms compute local energy at some information-rich points, which are marked by Harris' corner detector. The advantage of this approach is that the algorithm calculates the local energy at selected points and not throughout the image, thus saving a lot of computational time. The algorithm has been tested on a large set of scanned text pages and the results have been seen to be better than the results from the existing algorithms. Among the proposed schemes, the Gabor filter based scheme marginally outperforms the wavelet based scheme.
Cite this Research Publication : F. Nourbakhsh, Peeta Basa Pati, and Ramakrishnan, A. G., “Text Localization and Extraction from Complex Gray Images”, Computer Vision, Graphics and Image Processing. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 776-785, 2006.